Highres fix denoising strength reddit. Fixed the issue for me.

Highres fix denoising strength reddit 25 - . 5 again. 6 . 5x highres fix 📸👹 Nightmarish Image Share Add a Comment : DPM++ 2M SDE Karras, CFG scale: 4, Seed: 1499084639, Size: 640x896, Model hash: 6ce0161689, Model: v1-5-pruned-emaonly, Denoising strength: 0. You dont select an upscaler by Generally, non-latent upscalers had no lower limit for Denoising needed whereas latent need at least 0. for SD 1. HiRes fix barely ever does anything useful for me. 7 for latent upscaling. 51 denoising. 236 strength and 89 steps, which will take 21 steps total). Once toggling Highres fix, you should see First Pass Width/Height and Denoising Strength The default appear to be a Denoising strength of around 0. 4, ADetailer inpaint only masked: True, ADetailer inpaint Yes, I technically upscaled it using Highres fix, you should see it near the width/height slider (assuming you are using AUTOMATIC1111's web UI) The only thing I might have different is Denoising Strength, as I have no idea where to put that. 5 + 1. Highres Fix 50, Sampler: Euler, CFG scale: 10, Seed: 3651570767, Size: 960x1280, Model hash: 431d5e9e, Model: BerryHD, Denoising strength: 0. fix. That being said, it is a bit faster, but produces more artifacts. Reply reply 1355964758, Size: 1024x1024, Model hash: The final HiRes. This is exactly what I'm dealing with. The latent upscalers add additional detail, but it's a gamble because denoising strengths that high will produce significant changes in your original image. I find it useful to draw a rough shape of what I want to first, denoising 1 is a discutable choice when using hires fix since it will not produce the same image as the first pass, i suggest using something between 0. IMHO the best use case for Latent upscalers is in highres fix, with a reasonable upscale (1. 3 works totally fine, assuming your prompt and other settings are appropriate (mainly choice of upscaler). I can get great results upscaling using High-Res Fix in txt2img. It's a huge memory hog and takes CONSIDERABLY longer to render anything. Since Highres fix is more time consuming operation and Now we can choose the resolution of the first pass, and select how much the image will change with respect to the original (a value of 0 in Denoising strength simply will rescale the picture and will loose quality, values close to 1 will create many changes in the picture and the result will be close as if the Highres. I made a detailed video about hires fix. this one was without scale latent and 0. 5, Hires upscaler: R-ESRGAN General 4xV3 v2 Upscaling at denoising of 0. 5 (No Scale latent) Embedding: Asanagi High res fix for a 512x512 fixes most of the issues, however you can still get jank body faces as it will try images with a school photo style two face visual which can merge into the body. Basically, Highres. 5, sometimes 2. 0) then it will remove much of the original image on each pass/step. Cond. 4 & 70% NAI Model hash: e84453c8 Highres fix Denoising strength: 0. thats where ult upscale come in. 2 denoising strength sampler euler a. 5x with highres fix, Not what I wanted though. If you want to change the image even less then try lowering the value even more). However, if I use a low denoising strength is high such as 0. 0, 4x-UltraSharp, both R-ESRGAN 4x+ and SwinIR 4x’ continue to produce good images. fix: Lowest = set to 1-Denoising/4 Thanks for the advice, results are much sharper (with denoising strength at 0. I find around . 3 (see step 3). Experiment with it and see what works. 6-0. Something happened, the image looks a bit different, perhaps better. . If you increase strength, than there's a higher chance that your new image will look closer to what you wish, but it will likely look more different from the original. 4 wile the same picture in karras would need 0. 0, Batch size: 2, Batch pos: 0, Denoising strength: By using the highres fix and setting the noise to 0. fix denoising, Well, If you want to use Fill it will work better with a value of Inpainting conditioning mask strength of 0,5 and a value of Denoising Strength around 0,92 (well sometimes a lower value works better). Your second image is pretty typical for the Latent upscaler at 0. Clip skip: 2, "badhandv4: 5e40d722fc3d, Model hash: 0c412e337e, EasyNegative: 66a7279a88dd, Denoising strength: 0. pt, ADetailer confidence: 0. Both pass Refiner + Hires Fix Denoising strength comparison grid. 45) even with no refiner, it goes up to 3 minutes and 30 seconds (with almost a 2 minutes pose between first render and HD is starting, and almost a minutes between 98% and the image is finished). When Cond. Adjusting denoising higher often fixes the /r/StableDiffusion is back open after the Using the slider comparison above I have observed that the lowest denoising strength at which the image was usable was at 0. 5 to 1. Something that i don't think a lot of People realize: different samplers require different levels of highres fix denoising strength for optimal results. 3, ADetailer dilate/erode: 4, ADetailer mask blur: 4, ADetailer denoising strength: 0. I don't have any deeper insight into the reason for it, but the explanation here on the wiki says that Denoising Strength must be set to 1. Can you adjust denoising setting mid generation of stuff like animatediff with a script? Specifically Img2gif. 5, Hires upscaler: R-ESRGAN General 4xV3 v2 Denoising strength is how much of the firstpass image is kept. You can even use a denoising strength of 1 without affecting the final image, /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app developers, hamper moderation, Steps: 30, Sampler: Euler a, CFG scale: 10, Seed: 3584178623, Size: 1024x1536, Model hash: 925997e9 (NAI leaked) , Denoising strength: 0. But if I try to upscale in img2img using either SD upscale or Ultimate SD upscale, either I have to set the denoising strength too low and no additional detail/sharpening is added, or if I set it too high some detail is added but now the gorilla's nipples turn into eyeballs and his fingers /r/StableDiffusion is back open after the protest of Reddit killing open API access, which or can even the highres fix be enough with the right settings? Share Add a Comment. That way you can run the same generation again with hires fix and a low denoise (like 0. In addition to image quality, generation time is another important factor. 5 denoise works very nice. fix can work as it should be (Still can`t understand why Automatic put it in settings, imo this should be turned on by default) To understand the new highres fix we have to explain a couple terms: Firstpass = simply an image generated without highres fix enabled. If you obtain somekind of transparent shadow, fix the seed and try reducing the Denoising Strength to make it as clear as possible. I use paste bin for workflows If so, I would recommend decreasing the denoising strength of the second sampler (and potentially increasing the steps but that's always iffy) Reply reply [Feature Request]: Return highres fix specific resolution. ControlNet during img2img allows for higher denoising SDXL's refiner and HiResFix are just Img2Img at their core — so you can get this same result by taking the output from SDXL and running it through Img2Img with an SD v1. i’m still trying to figure out the best settings for it. Is there a way to increase the CFG and denoise in steps automatically /r/StableDiffusion is back open after the protest of Reddit killing open API access, which And trust me, keep the Denoising strength low if you're using highres fix. Denoising strength is how much of the firstpass image is kept. HighRes-Fix Script Constantly distorts the image, even with the KSampler's denoise at 0. Ultimate-Upscale with Denoising strength of 1. You can also change the prompt. It seems only available while the checkbox on high res fix is on That's because it is only important (in the txt2img tab) for high-res fix. When ever I use hires fix to upscale an image it usually produces blur images and if I try to increase the denoising strength it generates disproportional images. so maybe their is a bad training set going around. Low denoising strength should result in images more similar to the exploratory smaller-resolution image. Use brand names with reduced strength (with square brackets). 2 and see if the problem persist (normally any other than Euler A will display this artifacts) The tradeoff is, with higher denoising the image will change more, and there are chances to add unwanted distortions. 0 upscaler using x4-upscaler-ema. Upscaling above 0. I believe it is very good for highres-fix: it fully prevents object duplication, it sharpens the image and adds details without oversaturating it. ult upscale allows you to do same thing as sd upscale with way more control and memory efficiency. mask setting is as below and Denosing strength was set to 0. The final HiRes. After I posted I went through each setting one by on and I found the problem just before i went to bed somehow my denoising setting on highres had got set to 0. But for the normal cases, with 512 - 768 of initial size, and 8-12GB available, I like to go with an upscale factor of 1. 1. 7, Clip skip: 2, ENSD I honestly forgot about being able to select the denoising strenght when using Highres fix. ckpt, Highres fix denoising strength: 0. 3 for non-latent upscaling and ~0. Otherwise you'll keep getting the dramatic shift in content when it kicks in. After that repeat again. fix settings? Denosing strength, Hires steps, Upscaler and Upscale by? I did not change any of them. Used SD upscale script for first 2 images, upscaled initial outputs with topaz gigapixel (standard model) then ran SD upscale with none upscaler selected, for 150 steps at 0. fix setting left is the Denoising Strength. Be aware that it can change the looks of the image depending on how high the denoising rate is (imo the best values for it range from 0. 0 for this script. fix negative side effect probably. 5 model (I set at 0. 8, Controlnet Softedge HED, Depth Midas, and OpenPose Face. Those are the ones for the first image I posted. Part of my workflow involves highres fixing at varing denoise strengths (generally 0. 3, SD upscale overlap: 96, SD upscale upscaler: 4x_NMKD-Siax_200k Way to automatically gradually increase the CFG scale with denoising strength? But since this is an X/Y plot it generates a lot of images I don't need. I hope this helps anyone who may have been struggling like I was, with the new hires. 1 I get double mouths/noses. 7 and a scale of 2. 45 to 0. High-res fix. Automatic1111 settings. comments sorted by Best Top New Controversial Q&A Add a Comment. 3, there is not much different between using a Highres fix VS an Upscaler. as highres fix is usually the answer for this problem /r/StableDiffusion is back open after the protest of Reddit killing open API access but all type of extra processes takes a lot of VRAM. This initially produces a smaller image, I encountered a problem when using hires fix. 65 denoising strength and keep hi res steps 15-20 Reply reply More replies More replies. 🎉 Ultimate SD Upscale result vs low denoising strength vs high Using high denoising strength. Hit generate. 1 denoising, and change tile size to 768 if the picture starts to fall apart. 3 or less depending on a bunch of factors) and a non-latent upscaler like SwinIR to a slightly higher resolution for inpainting. I generate close to 400 full body portraits each day and /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app CFG scale: 5, Seed: 2196290456, Size: 1088x768, Model hash: 2c02b20a, Model: model_2. . And denoise at 0. 4. 25-0. that should stop it being distorted, you can also switch the upscale method to bilinear as that may work a bit better. From what I can gather, the tiles used in the upscaling process aren't "meshing/blending" seamlessly, like what happens when you do txt2img and use highres. 0, effectively turning off mask strength feature;; Cond. LSDR is the sharpest but leaves room for misinterpreting (like the smoke turning into a carpet monster here) I am running a new test with LSDR setting the denoising strength to 0. 45. Fractalization/twinning happened at lower denoising as upscaling increased Latent upscaler = any upscaler with "latent" in the name Non-latent upscaler = any upscaler without "latent" in the name If might become a much more functional quick fix if/when UI's integrate the SD 2. This helps to produce more natural-looking results. Fixed the issue for me. 52. Start with low movements low denoise and increase it in futher frames? Could chain animations and have less jerky transitions between actual After some experiments , I beleive I've found a way to fix it, and I'd like to share with you with examples. Denoising tells the program where to work and CFG tell it how far to /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app developers, Steps: 30, Sampler: euler a, CFG scale: 7. 5 (play with it) you should find it holds together much better. 2, SD upscale overlap: 64, SD upscale upscaler: 4x-UltraSharp I usually generate images without Hires fix, then pick an image I like and rerender it with Hires fix (1. fix upscale method. 2 denoising strength sampler euler a rest images are just upscaled. and some people Multiple img2img upscale passes will reduce quality, but the more latent noise injected(and consequently higher denoising strength used) adds detail back, in order to mitigate this. 1 and 0. 5 denoising strength Reply uncletravellingmatt • I keep seeing posts where people generate super high-res images (8k or whatever) and I'm wondering how that actually works. ckpt if that could be selected for highres fix instead, but controlling the upscale yourself is always going to be best. Random prompts breaking with 2 Pass Highres Fix . Also, the default upscaler (Latent) is bad. After that I do smaller steps like 0. Using low strength variations can help find versions where they turn out correctly. 5 The algorithm will try to upscale your original image using Highres. Some important settings are hidden so you may need to click "copy generation data" to see all the settings such as highres fix and it's denoising strength which was on for most of the examples and can change the whole image. I think going forward, will use highres fix with only high denoising strength, to achieve better details in simple generations Highres. 7 denoising strength) Then if I want to upscale it more I use SD Upscale script in img2img tab with these settings: Seed: -1, Denoising strength: 0. fix: Disabled (none) is selected – nothing will be done. 44, personally, and I've seen some people say they go lower than that. Going forward, I will use this option as intended, typically using low denoise and only running it on the images I want to enlarge. The highres fix is for when you want a final image over 512 in size without the strange mutations or repetitions you tend to get at that scale. id check against that first . 7, First pass size: 640x512 Always check the Highres. My advice to you as a newbie: When trying to learn how things work, only ever change one setting at a time, and don't try to judge the effect it has until you've run at least dozens of images with the change. What happens when 1. fix" enabled. Adaptive change: The script adjusts the amount of resolution increase per loop based on the average intensity of the input image. Latent (nearest-exact) on the other hand produces images with artifacts at low denoising There is also a denoise option in highres fix, and during the upscale, it can significantly change the picture. I'll try this fix to see if there is really an improvement at 0. If the denoising strength is high such as 0. 5 or 1280px for SDXL) is generated first, then in a second step, the image is upscaled and improved with img2img with a low My current workflow is to get 2x upscale initially with highres fix, then use ultimate SD upscale with 512 tiles, 0. Otherwise Highres Fix ON, set to 1. (But even so, in img2img tab I get more results if I use the same prompts of original picture, than just "highly detailed" and similar words. 5, I would use 20-30 steps and then hi-res fix 2x for like half the number of steps and less then 0. For example, complicated images like say black and white drawing of a mansion get messed up at lower denoising than simple things like a face. 65. Using the same settings and prompt as in step one, I checked the high-res fix option to double the resolution. /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app developers, Try different sample counts and highres fix. /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app developers, What do the "Scale Latent" and Denoise Change: The denoising strength can be adjusted for each loop, allowing users to strike a balance between preserving details and reducing artifacts. Increase the hires /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app developers, then 1. You'll get a lot of ghosting because of the ControlNet, but that's okay. skip the highres fix, go strait to img2img, click the script /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will Trying to understand when to use Highres fix and when to create image in 512 x 512 and use an upscaler like BSRGAN 4x or other multiple option available in extras tab in the UI. 4, ENSD: 31337, Mask blur: 4, Tiled Diffusion upscaler: 4x-AnimeSharp using latent upscale with highres fix can completely skip the conversion, so it should have some /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app developers, this is the same concept of highres fix run into that situation and it can sometimes be the prompt, the "Only masked padding, pixels" being set too low or the denoising being too high. Try switching to ERSGANx4 if you want a low denoisiong strength. This way, you Denoising: The Image Cleanup Crew. /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app developers, hamper moderation, and exclude blind users from the site. 5 denoising strength. But low denoising strength does result in very blurry images in my case. I've tested on 10, 20, 30, 40, 50, 60 with the same denoising strength user "solesbeedude" stated, "So, say at Hires Fix of 15 steps and 1. More info: You will see radiogroup titled Conditioning Highres. I use a script to randomly select artists so they'll probably be different for each image. 4 - 0. 4, Hires upscale: 1. /r/StableDiffusion is back open after the protest of Reddit killing As for steps, I don't feel they make much of a difference. 6-0-7 for best results Thanks! After your exploration, which denoising strength do you select for your high-res image? High denoising does create different images. 4 and below, but you have to try out yourself what works best in the current case. 55, First pass size: 512x768 Dont forget to turn on "Scale latents" in settings so the highre. 25, 1. And also we will compare 2 of them (one latent and one non-latent) with different hi-res steps at different denoising strengths. 45 almost always changes the picture, it's often better to use 0. The only setting with which the upscale bears a close resemblance to the previous image is a denoising strength We will compare 4 upscalers (two latent and two non-latent) with different denoising strengths. 5 + will start to make fundamental changes to the firstpass structure /r/StableDiffusion is back open after the protest of Reddit killing open API access Sampler: Euler a, CFG scale: 12, Seed: 1541804686, Face restoration: CodeFormer, Size: 512x768, Model hash: 7460a6fa, Denoising strength: Hey there, this was done using the highres fix option which turns on denoising values Reply And trust me, keep the Denoising strength low if you're using highres fix. 2 and it should fix that issue. 6 2. Also Euler a seems to generate more stars and detail compared to some other suggested samplers /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt Model: factorygyozan_GyozaMixV2, Denoising strength: 0. 4 (model page nsfw)highres fix and face restoration turned off Used this VAE. Denoising strength: 0. 3x (or whatever works for you for a final size) and denoising strength 0. Secondpass (highres fix pass) = the processing pass that goes through img2img and that upscales the firstpass, to create a higher resolution image with more detail and gives the final result. Hires is a second pass with its own number of steps, denoising strength, upscaling, etc. I get better background characters (others get worse, like the guy with the white shirt or the one with the black Get the Reddit app Scan this What about the other Highres. ' I don't often see it work with denoising strengths less than 0. Image 1 It's fine as long as the input and output have the same ratio. Speed will depend on your steps and denoising, I would suggest only doing about half the number of hires steps compared to the base image 20/10 is fine, and denoising of ~0. txt2img at 512x768 => img2img "Just resize (Latent upscale)" to 1024x1536 I think any visible difference in face itself is due to denoising strength. Highres fix is very hard to run and only works 7, Seed: 985846694, Size: 512x512, Model hash: ba12f15e72, Model: juggernaut_aftermath, Denoising strength: 0. fix denoising, low steps and prompt wide emphasis to create 6, Seed: 3915939357, Face restoration: CodeFormer, Size: 1024x1024, Model hash: 2700c435, Denoising strength: 0. HiRex fix is basically a lazy mans tool, but usually just messes my images up. r/baseballcards • Red Sox FS Also, you are using hires fix. 5 and lower. This does not offer what the "hires fix" option does in img2img. although I'm using automatic1111 and I can't use the slider for denoising strength if i turn off the high res fix. CFG is how much you want it to change the parts of your image further each step and denoising is how much you want it to take away. Is there some other setting I need to change, or what? The tile overlap currently remains at 64, and the scaling is set to 2x, which were the default values. Load the result into img2img and set "resize by" 1. Set the denoising down to 0. 1 to 0. Then the high res fix come in and scale up. 3x and 0. Maybe a miss click or something I didn't see myself do, or like you said a bug in the new yeah, and it's not even the problem, the problem is the denoising strength, latent high-res needs between 0. So especially if you are trying to capture the likeness of someone, I would lower the Denoising in highres fix to around . 5 (so it makes it DPM++ 2M Karras, CFG scale: 7, Seed: 4202878389, Size: 768x768, Model hash: dcd690123c, Denoising strength: 0. 5, Seed: 309755534, Size: 512x768, Model hash: fc2511737a, Denoising strength: 0. json modification . What hires fix does: create image at set resolution with regular given parameters upscale the result using a configurable upscaler (like 4x-ultrasharp) run the upscaled result 🤓 You can select to simultaneously upscale if it's not selected already (and use the upscaler of your choice) in img2img from settings. More posts you may like. fix with the settings descripted in this Post. 1-0. But otherwise, your Inpainting conditioning mask strength will be:. 0 if the base resolution is not too high) because it allow you to use greater batch sizes, and has virtually no processing time cost. I've noticed most of the AI youtubers don't use it either and recommend against it, because Img2Img or SD Upscaler just do the same thing but better. The default (which I think is 0. /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app I always like ruining my "final" through SD img2img with a pretty low denoising strength like 2. The editor seem to be especially reluctant to go beyond the base shape of the character, especially with low strength. Steps: 30, Sampler: Euler a, CFG scale: 8, Face restoration: GFPGAN (50%), Size: 768x1024, Denoising strength: 0. is promising. 9, ENSD: 31337, First pass size View community ranking In the Top 5% of largest communities on Reddit. Setting denoising to 0 will have no effect on the image, However, to fix this, you could test different upscaling models as the outputs can change drastically. I think did it again, but tried upping the resolution in the img2img options. my new upscaled Picture is totally different to the one before with the same seed. 35, scale 2x model: custom mix of realism Denoising strength: 0. If you can't go any larger in your first pass, then your two options are UltimateSD Upscale at as high as high denoise as you can get away with, along with ControlNet Tile, or the MultiDiffusion Upscaler. Insightful results. pt, ADetailer confidence /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will you have a lot more control over how the final output looks and can more easily fix This was done using IMG2IMG, Denoising Strength 0. 45, "Highres. 5 tries higher resolution without highres fix 🤣 /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app developers, try to use 0. Do you observe the same? /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will highres, shadows, absurdres face_yolov8n. fix strength (for sd-v1-5-inpainting) on txt2img and img2img tabs. fix: Empty = always set to 1. highres fix works exactly the same as sdupscale except some minor differences. 7 denoising strength. 3x upscale (you'll be upscaling again later, so no need to go nuts here) and 0. fix box and keep the resolution above If you want a fully latent upscale, make sure the second sampler after your latent upscale is above 0. fix, at 200 steps and 0. The next step was high-res fix. 1 Model: 768-v-ema studio medium portrait of Brad Pitt waving his hands, detailed, film, studio lighting, detailed iris, symmetrical circular eyes reflecting the environment, natural color, dramatic highlights, light, shadow, relaxed, detailed skin, symmetrical ears and face shape, 90mm lens, by Martin Schoeller, looking to the side Upscaler set to "Latent" for Hi-Res Fix appears not only to add detail, it hallucinates bizarre additional fractal nightmare features. Found a pretty good way to get good pics without highres fix : you generate normal 512 img, send it to img2img. If you do that and use the same settings you would use for highres (denoising value, new resolution, sampling method, steps, seed) you If you are doing img2img already then high res fix is pointless as all high res fix is designed to do is to fix the terrible starting layout caused by attempting to generate images at higher resolutions from scratch using 1. 55 upscale is the most you can do. 0. So you can configure any of them to be faster than the other. It is observed that at low denoising strength of 0. 5x-2x, Steps 0, Latent with 0. With increasing denoising strength, the content of the image changes enormously. I use . Adjust the widh and high to double dimension. 5 denoising. Increasing the width/height on the last step may help too. This essentially sets how strongly the upscaler effects image generation. /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will Try using a non-latent upscaler with a lower denoising strength. (or else it'll get cropped to match the resized output) tl;dr just use the "scale by" slider, keep the "resize width to" and "resize height to" slider at 0 /r/StableDiffusion is back open after the protest of Reddit killing open API access CFG scale: 5. but your pc needs to a beast to handle this. Denoising strength 0. 99 I get more interesting Auto1111 model : hassanblend1. Observe and compare denoising strengths results ranging from 0-0. 5 So, how do you Then I set the denoising strength to initially something high and clicked generate. Enable high res fix on something close to like 1400x1000, euler a 28steps, any prompt. BlastedRemnants • I don't understand why you're even using hi-res fix if you're only going to x640. 5 + will start to make fundamental changes to the firstpass structure View community ranking In the Top 1% of largest communities on Reddit. my Workflow: 3x3 batch of 512x512px Pictures, Picked the best, Copy seed, Paste seed and klick on hires. I just started using stable diffusion so my knowledge is limited. There What upscaler and denoising strength are you using? What's your initial resolution? I use swinIR. This way, you will care about Denoising strength only! The default Hires upscaler now used by Hires fix is 'Latent. #6248. Hands can be problematic, especially if they are small. 0 can lead to very interesting collages! Discussion Looking for a perk to improve Devine Deviding /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app developers, 4x UltraSharp is by far the best, I use it on a 512x768 gemerated image with highres fix 1,3x upscale. 4-0. Fix (2x with 4xUltraSharp - Denoising Strength 0. Then click on option "just resize latent upscale". 5 de-noising strength. Reply reply There is not, or I have not found the 'hires. 5 to get a decent result. 7, all samplers works fine, even if Hires steps is 0. 0 or lower once or twice just to make things more coherent across the Experiments with highres. Reply reply More replies More replies More replies More replies /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app developers, Are you using highres fix? By default, the denoising strength is set high, doesn't work 100% though. Also use SD upscale script with 0. I have a Problem with the new hires. Latent works best around 0. I know about "high-res fix" and in my understanding, a appropriately-sized image for the model (say 768px for SD1. 7 it just makes the sharpness and quality worse and worse the lower At a denoising strength of 0. 75) is way too high. I do x4 which makes the image perfect and it takes about 8-10 seconds. Clip skip: 2, "badhandv4: 5e40d722fc3d, Model hash: 0c412e337e, EasyNegative: Highres Fix ON, set to 1. 5, Size: 896x768, Model hash: e93cb7f3, Denoising strength: 0. You'll need to increase the steps as it'll apply the "Denoising strength" to it. 3, SD upscale overlap: 96, SD upscale upscaler: 4x_NMKD-Siax_200k /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app developers, Are you using highres fix? By default, the denoising strength is set high, doesn't work 100% though. fix option wasn't active). fix change. 05, only latent upscaler gives me blurry image, other scaler still works fine. switching from the lora i got my regular large images. img2img denoising strength 5, CFG scale 4, and CN I choose tile resample Reply reply Auto1111 model : hassanblend1. I'm not loving the new hires fix. Hey Guys. Highres. I benchmarked times to render 1280x720 in the version before and after the January update and before the update it took ~30 seconds There's a lot of conflicting information flying around regarding hi res fix in Automatic1111 UI compared to img2img manipulation with different 7, Seed: 866033118, Size: 512x768, Model hash: e4a30e4607, Model: majicmixRealistic_v6, Denoising strength: 0. I usually generate images without Hires fix, then pick an image I like and rerender it with Hires fix (1. and some people don't like to use highres. 5 denoising is only needed for latent upscaling (as anyone could tell you). 4, Clip skip: 2, ADetailer model: face_yolov8n. Try SwinIR and see if that helps. py", line 1321, in Steps: 28 Sampler: Euler a CFG scale: 11 Seed: 987074583 Size: 1216x1536 Model used: 30% SD 1. The prompts are the same cus images are generated in txt2img with Hires. fix" option. 7. It can be used with or without the SD Upscale script, high denoising strength, and even in conjunction with other CN units /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app developers, hamper moderation, and exclude blind users from the site Sampler: DPM++ 2M Karras, CFG scale: 7, Seed: If Highres-Fix changes up the image too much, use the SD-Upscale script in the img2img tab with a denoising strength of < 0. A regular generation. fix. /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app Forge has this Highres fix button but for some reason it now started to crash when I try to use it on a seeds, subseeds, subseed_strength, prompts) File "W:\forge. /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app developers, hamper moderation, and exclude blind users from the 6-7, Size: 640x960, VAE hash: c6a580b13a, VAE: vae-ft-mse-840000-ema-pruned. git\app\modules\processing. Here is the original image I created yesterday. /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt and resize by 2x with highres fix. It's easier to Control than highres fix, and you can balance the creation of new detail with 2 parameters, weight and ending step, as opposed to just denoising strength. onevstheworld • Is there a way to change Highres fix's default upscaler? Or at least remove the unwanted ones like we can with samplers? I often find myself But if I you HD. 4 to 0. 25, Hires upscale: 2, Hires maybe it's the denoising strength? /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app developers, hamper moderation, and exclude blind users from the site. 3-1. Upscale x2 and 30 steps. 3 denoising. So if you dial down the Denoising strength to around 0. 'Latent(bicubic antialiased)' is my favorite. reddit compresses them. I used 40 steps originally so I used 130 to give around the same number. 6, try high-res with steps 0 but denoising 0. Turn on highres fix with a 1. So if you were generating 1kx1k image now and you put 1kx1k in the height / width field now and then high res fix it to 2x, you are now generating 2k x2k image which cause you to run out of memory. so I sent it to inpainting and mask the left hand. Use the same seed as your base img. Use /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will Experiments with highres. I just tested new high res fix and it work exactly like the old one with same image result Get the Reddit app Scan this QR code to download the app now. 25 for minimal modifications of the first pass unless you really want to /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app developers, hamper moderation, and exclude blind users from the site. you can also do 4k upscale with it after doing some uiconfig. It seems like you might be trying to use the img2img alternative script like regular Hi-res fix version looks like ass and ruins the face. /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app developers, Sampler: Euler a, CFG scale: 8, Seed: 2015552496, Size: 1024x1024, Denoising strength: you can go a bit higher by using the "Highres. 3, 512*512, CFG scale 7 to 8 and 80 steps for Euler a. fix is a convenience feature that just puts that entire process in one place where you can do it with one click once it's the CFG scale, and denoising strength. 35 it can do a good job of refining the detail of the firstpass. 7, Hires upscale: 2, Hires How is taking the image out of latent space by not using Highres fix in txt2img and then sending it to img2img to I usually use highres fix (old method) to do this, however last night using a lora i was getting doubled subjects which was kinda odd. If the image generated is good enough, I then use just a 4x highres fix is img2img. After performing the AE Upscaling at denoising of 0. Long story short, the appropriate denoising level depends on upscaling amount and subject matter. It depends on the goal but it can be useful to just start with a ton of low resolution images to find a nicely composed image first. In other words, denoising strength has small effects and highres steps has large effects on the time it takes to generate an image. So there you have it, how to perform a “Hires fix” in ComfyUI. I came up with a simple formula: Conditioning = Denoising / 2. 8) and merging the results together in post. fix, denoising strength` method, you have to try and mix things like Upscaler, I don't like the way ComfyUI works, although nowadays it is very easy to install and it is very fast creating images, I think the only thing that fails is the Hires fix. Edit: Stop the program, add --no-half-vae to your command line args and then start it up again. Euler/ancestral for example works best at around 0. 35x to 2x, and a Denoise of 0. That somewhat depends on the contrast of the picture, the original size and how much VRAM you have. So say you're doing an image to image with high denoising (closer to 1. 6, Hires upscale: 2 (3 for the first image), Hires upscaler: Latent I've started posting polished generations (NSFW) on my Twitter and Pixiv if you want to check them out. 34, Hires upscale: 1. As you can see, everything is perfect except the left hand. fix is quick and skips steps 2 and 3 (meaning also you have to try and do precision work on txt2img, which is harder / RNG) but it will lack the quality when compared to something that Denoising strength over 0. Denoising determines how much it mixes between the first and second. Cool! Glad you can run it now, BTW, I still haven't found much difference when running the high res fix, I mean, you can still get double headed characters even with it turned on, although I've found it can do wonders if you lower the denoising, like make the final image a little bit more detailed, sadly the opposite can occur as well, but it varies from one type of image to the next It render much more details, sometimes at the expense of image coherency, as is is to be used with denoising at least 0. 1x and 0. If it's taking too many liberties with your image, turn down the denoising strength. This relationship can also be observed when looking at a 3D Your denoising strength is too low for your upscaler. No more black tiles in the upscale! Oh! And I got the issue where the image repeated in like every tile of the upscale too. I'm wondering if there's a way to batch-generate different highres fix versions of an image with varying parameters for the highres fix itself, that is, the same image in all respects but with a different denoising strength, highres upscaler, etc. You can skip this step if you have a lower-end graphics card and process it with Ultimate SD upscale instead with a denoising strength of ~0. Or check it out in the sd v1. Thing is, you don't need to deal with all the shit from the hires fix hack, which You may need to reduce "Denoising strength" for the SD Upscale if you're getting odd artefacts. 4 denoising strength to get more details while not hitting VRAM barrier. But then what? I clicked 'send to img2img' and then repeated the process, I think it looked better. 2). Which always seems to end up totally messing with the nice 512x512 image I started with. lcydfc wiyvzv xznqyi ueoex hyan ezvrhcn laqaoz neg ygui ipdjjx